JOURNAL OF HAZARDOUS MATERIALS
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2022
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IF 14.224
Fengyi Zhong,Chaowei Yuan,Ye He,Yanjuan Sun,Jianping Sheng,Fan Dong
Constructing heterostructure is an effective way to fabricate advanced photocatalysts. However, the catalytic performance of typical common multi-dimensional bulk heterostructure still suffers from the limited active interface and inefficient carrier migration. Herein, we successfully synthesize the SnO 2 /Cs 3 Bi 2 I 9 dual-quantum-dots nanoheterostructure (labeled as SCX, X = 1, 2, 3) for efficiently and stably photocatalytic NO removal under visible light irradiation. The NO removal rate of SC2 is almost 8 and 17 times higher than that of the single SnO 2 and Cs 3 Bi 2 I 9 , respectively. Moreover, the SC2 photocatalyst shows only 3 % attenuation after five consecutive cycles, demonstrating good photocatalytic stability. Systematic experimental characterization and theoretical density functional theory calculations revealed that the high activity and stability of SCX originated from the efficient charge transfer at the confined interface between SnO 2 and Cs 3 Bi 2 I 9 quantum dots . This work provides a new perspective for constructing innovative dual-quantum-dots nanoheterostructure and assesses their potential in photocatalytic environmental applications.
研究领域:
材料科学
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环境科学
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理论计算
✓ 已验证
DOI
高影响因子
MICROCHEMICAL JOURNAL
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2025
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IF 5.1
Qian Xiang,Wei Geng,Xiaoqi Guo,Yongjie Liu,Sunan Liu,Xiaojuan Jin,Yajuan Chang,Tongze Lin,Ling Zhu,Yunsu Ma
Glyphosate (Gly) is one of the most widely used herbicides globally. It is essential to conduct quantitative monitoring of Gly in the environment to avoid unnecessary exposure. In this study, we present the development of a novel ratiometric fluorescent probe based on blue carbon dots (bCDs) and red quantum dots (rQDs) for the sensitive and selective detection of Gly in agricultural products. The fluorescence of rQDs is rapidly quenched upon interaction with Gly by intramolecular charge transfer (ICT), serving as the detection signal, while the fluorescence of bCDs remains constant, acting as an internal reference. By measuring the ratio of the fluorescence intensities of bCDs and rQDs ( I 440 / I 640 ), quantitative detection of Gly was achieved. The probe demonstrated a detection limit (LOD) as low as 0.11 μM, with a strong linear response over a concentration range of 0.5 to 200 μM. The developed method was successfully applied to detect Gly residues in real agricultural products (potatoes, gingers and apples), yielding satisfactory recovery rates and demonstrating high resistance to interference from other compounds. This study provides a reliable, efficient, and practical tool for environmental monitoring and food safety assessments.
研究领域:
环境科学
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食品安全
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分析化学
✓ 已验证
产品关联
DOI
高影响因子
ANALYTICA CHIMICA ACTA
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2018
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IF 5.123
Ou Hu,Lu Xu,Haiyan Fu,Tianming Yang,Yao Fan,Wei Lan,Hebing Tang,Yu Wu,Lixia Ma,Di Wu,Yuan Wang,Zuobing Xiao,Yuanbin She
Fluorescent “turn-off” sensors based on double quantum dots (QDs) has attracted increasing attention in the detection of many materials due to their properties such as more useful information, higher fluorescence efficiency and stability compared with the fluorescent “turn-off” sensors based on single QDs. In this work, highly sensitive and specific method for recognition of 53 different famous green teas was developed based on the fluorescent “turn-off” model with water-soluble ZnCdSe-CdTe double QDs. The fluorescence of the two QDs can be quenched by different teas with varying degrees, which results in the differences in positions and intensities of two peaks. By the combination of classic partial least square discriminant analysis (PLSDA), all the green teas can be discriminated with high sensitivity, specificity and a satisfactory recognition rate of 100% for training set and 100% for prediction set, respectively. The fluorescent “turn-off” sensors based on the single QDs (either ZnCdSe QDs or CdTe QDs) coupled with PLSDA were also employed to recognize the 53 famous green teas with unsatisfactory results. Therefore, the fluorescent “turn-off” sensors based on the double QDs is more appropriate for the large-class-number classification (LCNC) of green teas. Herein, we have demonstrated, for the first time, that so many kinds of famous green teas can be discriminated by the “turn-off” model of double QDs combined with chemometrics , which has largely extended the capability of traditional fluorescence and chemometrics , as well as exhibits great potential to perform LCNC in other practical applications.
研究领域:
分析化学
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食品科学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
ANALYTICA CHIMICA ACTA
·
2016
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IF 4.712
Yao Fan,Li Liu,Donglei Sun,Hanyue Lan,Haiyan Fu,Tianming Yang,Yuanbin She,Chuang Ni
As a popular detection model, the fluorescence “turn-off” sensor based on quantum dots (QDs) has already been successfully employed in the detections of many materials, especially in the researches on the interactions between pesticides. However, the previous studies are mainly focused on simple single track or the comparison based on similar concentration of drugs. In this work, a new detection method based on the fluorescence “turn-off” model with water-soluble ZnCdSe and CdSe QDs simultaneously as the fluorescent probes is established to detect various pesticides. The fluorescence of the two QDs can be quenched by different pesticides with varying degrees, which leads to the differences in positions and intensities of two peaks. By combining with chemometrics methods, all the pesticides can be qualitative and quantitative respectively even in real samples with the limit of detection was 2 × 10 −8 mol L −1 and a recognition rate of 100%. This work is, to the best of our knowledge, the first report on the detection of pesticides based on the fluorescence quenching phenomenon of double quantum dots combined with chemometrics methods. What's more, the excellent selectivity of the system has been verified in different mediums such as mixed ion disruption, waste water , tea and water extraction liquid drugs.
研究领域:
分析化学
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环境科学
✓ 已验证
DOI
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
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2020
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IF 3.232
Hengye Chen,Shuo Wang,Haiyan Fu,Hongliang Xie,Wei Lan,Lu Xu,Lei Zhang,Yuanbin She
Silver ions , as a commonly used industrial heavy metal, tends to deposit in the body and induce many diseases. In this work, modified CdTe QDs with green and red emission were synthesized to assemble dual-QDs, which could be efficient and selective utilized for Ag + determination through the electron transfer progress between surface functional group of dual-QDs and Ag + , and the aggregation of Ag + on the surface of dual-QDs. Under the appropriate pH value and volume ratio, the interaction between the surface functional groups of assembled dual-QDs reduce the affinity of Hg 2+ in this system. The fluorescent signal of dual-QDs simultaneously attenuation or enhancement in the same proportion remove the interference of Cu 2+ and other metal ions . Therefore, this method can selectively detect Ag + without any masking agents. The linear region of detection was from 0 to 800 nmol/L (R 2 > 0.998), and low of detection (LOD) was 7.7 nmol/L, which could meet the corresponding standards of World Health Organization (WHO) and Environmental Protection Agency (EPA). This effective proposed dual-QDs ratios fluorescent probe has been applied to detect Ag + in real environment water, tea and Citri Reticulatae Pericarpium (CRP) water.
研究领域:
分析化学
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环境科学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
MATERIALS CHEMISTRY AND PHYSICS
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2020
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IF 3.408
Tao Guo,Ting Xu,Wentao Xia,Andrew J. Carrier,Li Wang,Xu Zhang
We report herein, double quantum dot composites of graphene oxide and CuO (GOQD-q-CuO), formed by a low-temperature solution process, possess enhanced haloperoxidase (HPO)-like catalytic activity, which catalyze the oxidation of Cl − by H 2 O 2 to generate reactive chlorine species (RCS). A sensitive and selective colorimetric sensor was then developed via the oxidation of 3,3ʹ,5,5ʹ-tetramethylbenzidine (TMB) by the GOQD-q-CuO catalytic system through the generation of RCS for H 2 O 2 and glucose detection, with detection limits of 0.5 and 2.5 μM and linear ranges between 2.5–200 and 5–400 μM, respectively. This sensor was further applied to glucose detection in clinical serum samples showing no significant differences with the hexokinase method. Additionally, we demonstrate that the GOQD modulates the catalytic activity of q-CuO by reversing its zeta potential , producing an overall negatively charged surface, therefore GOQD-q-CuO has much higher affinity than CuO to the positively charged chromogenic substrate TMB, yielding higher HPO-like activity. Moreover, the presence of Cl − accelerates electron transfer to facilitate Cu 2+ reduction to Cu + on the GOQD-q-CuO surface, speeding up the overall catalytic reaction for the RCS generation, therefore, higher detection sensitivity was achieved.
研究领域:
生物化学
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材料科学
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分析化学
✓ 已验证
产品关联
DOI
高影响因子
危险品化学品经营许可证（带存储）